This course is an applied statistics course focusing on data analysis. The course will begin with an overview of how to organize, perform, and write-up data analyses. Then we will cover some of the most popular and widely used statistical methods like linear regression, principal components analysis, cross-validation, and p-values. Instead of focusing on mathematical details, the lectures will be designed to help you apply these techniques to real data using the R statistical programming language, interpret the results, and diagnose potential problems in your analysis.

The course starts on January 22, 2013.

You might also be interested in Computing for Data Analysis taught by Roger Peng, who is also a biostatistics professor at John Hopkins. Leek's course is focused on statistical methods, whereas Peng's course is focused on programming. Better take both. [via Revolutions]